Bitlist: New Full-text Index for Low Space Cost and Efficient Keyword Search
Summary: Bitlist presents a compact full-text index encoding a set of document IDs into a single number, enabling extremely low space. Boolean search via bitwise ops; 36.7% less space and 61.9% faster than inverted-list compression, with similar runtime and much lower space than prior work. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Weixiong Rao
- 2. Lei Chen
- 3. Pan Hui
- 4. Sasu Tarkoma
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,804 | Capsule*: An Out-of-Core Training Mechanism for Colossal GNNs | 2025 | SIGMOD | 4.2805224e-05 |
| 11,930 | ConfSeer: Leveraging Customer Support Knowledge Bases for Automated Misconfiguration Detection | 2015 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015496097 |
| 2,464 | Fast Set Intersection in Memory | 2011 | VLDB | 8.7524354e-05 |
| 3,916 | Compressing Large Boolean Matrices Using Reordering Techniques | 2004 | VLDB | 6.6328898e-05 |
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